code: def test_output_file_evaluate_from_args(self):
      output_file = str(self.TEST_DIR / "metrics.json")
      predictions_output_file = str(self.TEST_DIR / "predictions.jsonl")
      kebab_args = [
          "evaluate",
          str(
              self.FIXTURES_ROOT
              / "simple_tagger_with_span_f1"
              / "serialization"
              / "model.tar.gz"
          ),
          str(self.FIXTURES_ROOT / "data" / "conll2003.txt"),
          "--cuda-device",
          "-1",
          "--output-file",
          output_file,
          "--predictions-output-file",
          predictions_output_file,
      ]
      args = self.parser.parse_args(kebab_args)
      computed_metrics = evaluate_from_args(args)
  
      with open(output_file, "r") as file:
          saved_metrics = json.load(file)
      assert computed_metrics == saved_metrics
  
      with open(predictions_output_file, "r") as file:
          for line in file:
              prediction = json.loads(line.strip())
          assert "tags" in prediction
  
imports: import argparse
  import json
  from pathlib import Path
  from typing import Iterator, List, Dict
  from shutil import copyfile
  import pytest
  import torch
  from flaky import flaky
  from allennlp.commands.evaluate import evaluate_from_args, Evaluate
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.data_loaders import TensorDict
  from allennlp.models import Model
label_desc: Use image node_id 3 for calling the TestEvaluate obj's underlying member method code with example usage: obj.test_output_file_evaluate_from_args() without return types